Large Language Models (LLMs) - GPT-4, Claude, LLaMA, PaLM, etc.

Prompt Engineering and Optimization

Natural Language Processing (NLP)

Python programming

Machine Learning fundamentals

API integration (OpenAI, Anthropic, Hugging Face)

Prompt frameworks (LangChain, Semantic Kernel, Prompt Flow)

Vector databases and embeddings

Retrieval-Augmented Generation (RAG)

Model evaluation and testing methodologies

Git and version control systems

SQL and data querying

JSON and data format handling

Excellent written and verbal communication

Critical thinking and analytical mindset

Creativity and innovation in problem-solving

Attention to detail and quality focus

Collaborative team player mentality

Self-motivated and independent learner

Adaptability to rapidly evolving AI landscape

Mentoring and knowledge-sharing abilities

Project management and organizational skills

Patience and persistence in optimization tasks